Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in Data Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 1.1 years of experience in data analysis, visualization, and machine learning. Proficient in Python, SQL, Tableau, and Power BI. Skilled in handling finance-related and CRM data, developing predictive models, and automating reporting workflows to derive actionable business insights.
Mahatma jyotiba phule Rohilkhand university
Bachelor of Arts
August 1, 2021 – June 30, 2024
Dr. Sheth's Clinic
Data Analyst
May 1, 2025 – Present
Mumbai, Maharashtra, India
Maple Hardware: Interactive Tableau Dashboard | Data Modelling and Cleaning
November 1, 2023 – November 1, 2023
Cleaned, transformed, and structured raw data to make it analysis-ready, ensuring accuracy and consistency across all datasets. Generated actionable insights that helped identify high-performing and slow-moving products, contributing to better inventory planning. Performed data modeling and relationship mapping to understand patterns in sales trends, stock movement, and product performance.
Heart Disease Prediction using Logistic Regression
September 1, 2023 – September 1, 2023
Objective: To predict the likelihood of heart disease based on patient health indicators. Cleaned and preprocessed medical data including cholesterol, blood pressure, and heart rate. Built a Logistic Regression model to classify patients as at-risk or not at-risk. Employed Advanced Excel functions (VLOOKUP, Pivot Tables) for in-depth data analysis and report creation, reducing manual work by 2 hours and increasing workflow efficiency.
Sales Insights Analysis
August 1, 2023 – August 1, 2023
Objective: To analyze advertising spend across TV, Radio, and Newspaper channels and understand its impact on sales. Performed Exploratory Data Analysis (EDA) to identify trends and patterns in advertising and sales. Built a Multiple Linear Regression model to predict sales based on ad spend. Visualized key insights using Matplotlib and Seaborn, helping identify the most effective marketing channels.
Cultural Fit Analysis
The candidate's projects show a diverse interest in applying data analysis across different domains (retail, sales, healthcare), which indicates adaptability. The current role at Dr. Sheth's Clinic aligns well with the target role of Data Analyst, demonstrating practical application of skills in a business context. The breadth of tools and techniques used suggests a willingness to learn and apply various methodologies.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with cross-functional teams (doctors, marketing, finance) and translate raw data into actionable business decisions. The automation of reporting workflows suggests a proactive approach to improving operational efficiency. Project descriptions indicate a focus on generating actionable insights and problem-solving.